Regional variation in hospitalisation and mortality in heart failure: comparison of England and Lombardy using multistate modelling
Code:
43/2017
Title:
Regional variation in hospitalisation and mortality in heart failure: comparison of England and Lombardy using multistate modelling
Date:
Tuesday 1st August 2017
Author(s):
Bottle, A.; Ventura, C.M.; Dharmarajan, K.; Aylin, P.; Ieva, F.; Paganoni, A.M.
Abstract:
Heart failure (HF) is a common, serious chronic condition with high morbidity, hospitalisation and mortality. The healthcare systems of England and the northern Italian region of Lombardy share important similarities and have comprehensive hospital administrative databases linked to
the death register. We used them to compare admission for HF and mortality for patients between 2006 and 2012 (n = 37,185 for Lombardy, 234,719 for England) with multistate models. Despite close similarities in age, sex and common comorbidities of the two sets of patients, in Lombardy, HF admissions were longer and more frequent per patient than in England, but short- and medium-term mortality was much lower. English patients had more very short stays, but their very elderly also had longer stays than their Lombardy counterparts. Using a three-state model, the predicted total time spent in hospital showed large differences between the countries: women in England spent an average of 24 days if aged 65 at first admission and 19 days if aged 85; in Lombardy these figures were 68 and 27 days respectively. Eight-state models suggested disease progression that appeared similar in each country. Differences by region within England were
modest, with London patients spending more time in hospital and having lower mortality than the rest of England. Whilst clinical practice differences plausibly explain these patterns, we cannot confidently disentangle the impact of alternatives such as coding, casemix, and the availability and use of nonhospital settings. We need to better understand the links between rehospitalisation frequency and mortality.
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Health Care Management Science DOI 10.1007/s10729-017-9410-x
Health Care Management Science DOI 10.1007/s10729-017-9410-x